IDEAS home Printed from https://ideas.repec.org/a/spr/compst/v38y2023i3d10.1007_s00180-023-01339-3.html
   My bibliography  Save this article

Let’s talk about the weather: a cluster-based approach to weather forecast accuracy

Author

Listed:
  • Jill F. Lundell

    (Department of Mathematics and Statistics Utah State University)

  • Brennan Bean

    (Department of Mathematics and Statistics Utah State University)

  • Jürgen Symanzik

    (Department of Mathematics and Statistics Utah State University)

Abstract

Improved understanding of characteristics related to weather forecast accuracy in the United States may help meteorologists develop more accurate predictions and may help Americans better interpret their daily weather forecasts. This article examines how spatio-temporal characteristics across the United States relate to forecast accuracy. We cluster the United States into six weather regions based on weather and geographic characteristics and analyze the patterns in forecast accuracy within each weather region. We then explore the relationship between climate characteristics and forecast accuracy within these weather regions. We conclude that patterns in forecast errors are closely related to the unique climates that characterize each region.

Suggested Citation

  • Jill F. Lundell & Brennan Bean & Jürgen Symanzik, 2023. "Let’s talk about the weather: a cluster-based approach to weather forecast accuracy," Computational Statistics, Springer, vol. 38(3), pages 1135-1155, September.
    • Handle: RePEc:spr:compst:v:38:y:2023:i:3:d:10.1007_s00180-023-01339-3
    DOI: 10.1007/s00180-023-01339-3
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s00180-023-01339-3
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s00180-023-01339-3?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Judah Cohen & Karl Pfeiffer & Jennifer A. Francis, 2018. "Warm Arctic episodes linked with increased frequency of extreme winter weather in the United States," Nature Communications, Nature, vol. 9(1), pages 1-12, December.
    2. Fionn Murtagh & Pierre Legendre, 2014. "Ward’s Hierarchical Agglomerative Clustering Method: Which Algorithms Implement Ward’s Criterion?," Journal of Classification, Springer;The Classification Society, vol. 31(3), pages 274-295, October.
    3. Wickham, Hadley, 2007. "Reshaping Data with the reshape Package," Journal of Statistical Software, Foundation for Open Access Statistics, vol. 21(i12).
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Maurizio Vichi & Carlo Cavicchia & Patrick J. F. Groenen, 2022. "Hierarchical Means Clustering," Journal of Classification, Springer;The Classification Society, vol. 39(3), pages 553-577, November.
    2. Augustinus, Benno A. & Blum, Moshe & Citterio, Sandra & Gentili, Rodolfo & Helman, David & Nestel, David & Schaffner, Urs & Müller-Schärer, Heinz & Lensky, Itamar M., 2022. "Ground-truthing predictions of a demographic model driven by land surface temperatures with a weed biocontrol cage experiment," Ecological Modelling, Elsevier, vol. 466(C).
    3. Jiao Jieying & Hu Guanyu & Yan Jun, 2021. "A Bayesian marked spatial point processes model for basketball shot chart," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 17(2), pages 77-90, June.
    4. Paulus, Michal & Kristoufek, Ladislav, 2015. "Worldwide clustering of the corruption perception," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 428(C), pages 351-358.
    5. Julio Cesar Alonso Cifuentes & Jaime Andres Carabali, 2019. "Breve Tuturial para visualizar y Calcular Métricas de Redes (grafos) en R (para Económisas)," Icesi Economics Lecture Notes 18170, Universidad Icesi.
    6. Hyeri Choi & Min Jae Park, 2019. "Evaluating the Efficiency of Governmental Excellence for Social Progress: Focusing on Low- and Lower-Middle-Income Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 141(1), pages 111-130, January.
    7. Maksym Polyakov & Morteza Chalak & Md. Sayed Iftekhar & Ram Pandit & Sorada Tapsuwan & Fan Zhang & Chunbo Ma, 2018. "Authorship, Collaboration, Topics, and Research Gaps in Environmental and Resource Economics 1991–2015," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 71(1), pages 217-239, September.
    8. Grzegorz Maciejewski & Mirosława Malinowska & Barbara Kucharska & Michał Kucia & Beata Kolny, 2021. "Sustainable Development as a Factor Differentiating Consumer Behavior: The Case of Poland," European Research Studies Journal, European Research Studies Journal, vol. 0(3), pages 934-948.
    9. Giger, Markus & Mutea, Emily & Kiteme, Boniface & Eckert, Sandra & Anseeuw, Ward & Zaehringer, Julie G., 2020. "Large agricultural investments in Kenya’s Nanyuki Area: Inventory and analysis of business models," Land Use Policy, Elsevier, vol. 99(C).
    10. Lisa Reyes Mason & Bonita B. Sharma & Jayme E. Walters & Christine C. Ekenga, 2020. "Mental Health and Weather Extremes in a Southeastern U.S. City: Exploring Group Differences by Race," IJERPH, MDPI, vol. 17(10), pages 1-18, May.
    11. Walker, Nathan L. & Styles, David & Coughlan, Paul & Williams, A. Prysor, 2022. "Cross-sector sustainability benchmarking of major utilities in the United Kingdom," Utilities Policy, Elsevier, vol. 78(C).
    12. Pierre H. H. Schneeberger & Morgan Gueuning & Sophie Welsche & Eveline Hürlimann & Julian Dommann & Cécile Häberli & Jürg E. Frey & Somphou Sayasone & Jennifer Keiser, 2022. "Different gut microbial communities correlate with efficacy of albendazole-ivermectin against soil-transmitted helminthiases," Nature Communications, Nature, vol. 13(1), pages 1-12, December.
    13. Abang Zainoren Abang Abdurahman & Syerina Azlin Md Nasir & Wan Fairos Wan Yaacob & Serah Jaya & Suhaili Mokhtar, 2021. "Spatio-Temporal Clustering of Sarawak Malaysia Total Protected Area Visitors," Sustainability, MDPI, vol. 13(21), pages 1-19, October.
    14. Mulu Abraha Woldegiorgis & Janet E. Hiller & Wubegzier Mekonnen & Jahar Bhowmik, 2018. "Disparities in maternal health services in sub-Saharan Africa," International Journal of Public Health, Springer;Swiss School of Public Health (SSPH+), vol. 63(4), pages 525-535, May.
    15. Miller, Christine M.F. & Waterhouse, Hannah & Harter, Thomas & Fadel, James G. & Meyer, Deanne, 2020. "Quantifying the uncertainty in nitrogen application and groundwater nitrate leaching in manure based cropping systems," Agricultural Systems, Elsevier, vol. 184(C).
    16. Monika Stanny & Łukasz Komorowski & Andrzej Rosner, 2021. "The Socio-Economic Heterogeneity of Rural Areas: Towards a Rural Typology of Poland," Energies, MDPI, vol. 14(16), pages 1-23, August.
    17. Sarlas, Georgios & Páez, Antonio & Axhausen, Kay W., 2020. "Betweenness-accessibility: Estimating impacts of accessibility on networks," Journal of Transport Geography, Elsevier, vol. 84(C).
    18. Renato Amorim, 2015. "Feature Relevance in Ward’s Hierarchical Clustering Using the L p Norm," Journal of Classification, Springer;The Classification Society, vol. 32(1), pages 46-62, April.
    19. Marin FOTACHE & Florin DUMITRU & Valerica GREAVU-SERBAN, 2015. "An Information Systems Master Programme in Romania. Some Commonalities and Specificities," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 19(3), pages 5-18.
    20. Anca Gabriela Ilie & Marinela Luminita Emanuela Zlatea & Cristina Negreanu & Dan Dumitriu & Alma Pentescu, 2023. "Reliance on Russian Federation Energy Imports and Renewable Energy in the European Union," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 25(64), pages 780-780, August.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:compst:v:38:y:2023:i:3:d:10.1007_s00180-023-01339-3. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.